Senior Data Analyst - Snowflake, dbt, Python

HARSHIL ASHISH DESAI

Jersey City, NJ 551-***-**** *******.*@**********.*** linkedin.com/in/harshildesai23 SUMMARY

Data Analyst with 5+ years across healthtech and fintech, surfacing $2.4M in retention opportunities at Intuit and driving

$1.8M+ in pharma contract renewals at HealthPlix. Hands-on expertise in Snowflake, dbt, Databricks, Tableau, and Python with a consistent record of converting high-volume datasets into decisions that reach the executive layer. WORK EXPERIENCE

Intuit FinTech Platform TurboTax, QuickBooks, Credit Karma Feb 2025 – Present Senior Data Analyst, Customer and Product Analytics

• Built and maintained a Snowflake + dbt + Tableau self-serve analytics framework across TurboTax, QuickBooks, and Credit Karma, cutting ad-hoc analyst requests by 60% and saving $180K/year in bandwidth.

• Developed customer churn prediction model using Python (pandas, scikit-learn) + Snowflake SQL; identified $2.4M in at- risk subscription revenue and supported retention interventions that recovered 34% of flagged accounts within 90 days.

• Built 8 executive-facing Power BI dashboards tracking QuickBooks SMB KPIs including ARR, churn rate, NPS, and feature adoption; dashboards now reviewed in weekly Global Business Solutions leadership standups.

• Partnered with Data Engineering to instrument GenOS AI feature telemetry in Amplitude; defined 15 core engagement metrics for Intuit's AI tax assistant, enabling A/B test interpretation within 48 hrs via Databricks notebooks.

• Mentored 3 junior analysts through code reviews and SQL + Tableau workshops; 2 analysts promoted within the review cycle; contributed to team-level analytics best-practices guide covering dbt modeling and Delta Lake table standards.

• Integrated Great Expectations for automated data quality checks on model inputs and deployed Monte Carlo for pipeline observability, reducing data incident response time by 65% across product analytics pipelines. HealthPlix Technologies Aug 2019 – Dec 2022

Data Analyst

• Designed the ROBIN Doctor Insights Dashboard tracking patient demographics, visit trends, and prescription patterns; adopted by 4,000+ providers across 370 cities, cutting average clinic reporting time by 45 minutes/week.

• Built Real World Evidence (RWE) analytics pipeline on de-identified EMR data covering 50M+ patient records using Databricks + Spark SQL; surfaced drug usage trends that supported $1.8M in pharma contract renewals.

• Automated 14 recurring reporting workflows using Python + Apache Airflow, reducing manual generation from 22 hrs to 6 hrs/week; standardized the reporting layer using dbt transformations.

• Built Specialty Performance Scorecard for pharma clients via Looker + BigQuery, tracking HCP engagement and prescription velocity; scorecard used in 100% of pharma sales pitches in FY2022 and automated ingestion via Fivetran.

• Led data quality audits on EMR ingestion pipelines using Great Expectations and custom SQL rules; remediated 18% anomaly rate and reduced downstream reporting errors by 91%, establishing a data observability framework adopted org- wide.

• Collaborated with cross-functional stakeholders across Sales, Medical Affairs, and Operations to deliver C-suite-ready reporting packages supporting quarterly business reviews.

• Drove data governance and standardized reporting cadences with stakeholders across Product and Compliance; established SLA-backed workflows that reduced ad-hoc escalations org-wide. TECHNICAL SKILLS

Analytics and BI: Tableau, Power BI, Looker, Amplitude, Hex, Sigma Computing, Google Data Studio Data and Cloud: Snowflake, Databricks, Delta Lake, Amazon Redshift, BigQuery, MySQL, PostgreSQL, Spark SQL Programming: Python (pandas, NumPy, scikit-learn, matplotlib, seaborn), SQL (advanced), R Data Pipelines and ETL: dbt, Apache Airflow, Fivetran, SnapLogic, Alteryx, Excel Power Query, Stitch Data Quality and Observability: Great Expectations, Monte Carlo, automated validation frameworks AI and LLM Integration: OpenAI API, Prompt Engineering, LLM-assisted analytics, Databricks AI Functions Experimentation: A/B Testing, Cohort Analysis, Funnel Analysis, Statistical Significance Testing Architecture: Medallion Architecture, Customer 360, Kimball dimensional modeling Domain: HealthTech (EMR, RWE, pharma analytics, HIPAA. EHR), FinTech (SMB finance, tax, SaaS metrics, payments) EDUCATION

Master of Science in Data Science Jan 2023 – Dec 2024 Pace University, New York City, NY

Bachelor of Engineering in Electronics and Communication Engineering Aug 2015 – May 2019 Dharmsinh Desai University, Nadiad, India

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